YEAH TEST

1 by region: how_many_hh_village

1.1 Graph regular

1.2 Graph

1.3 Table

region numbers CI_lw CI_up
dependent.var south_east 60.72165 45.72520 75.71810
dependent.var1 capital_central 36.29179 23.72339 48.86019
dependent.var2 north_east 44.31057 34.11060 54.51053
dependent.var3 west 59.17154 50.59274 67.75033
dependent.var4 east 50.69055 42.76680 58.61431
dependent.var5 south 47.15459 35.52909 58.78010
dependent.var6 north 44.95590 39.77987 50.13193

1.4 Statistics

two sample ttest on difference in means (two sided): p=0.058; df=450

2 by region: informal_settlement

2.1 Graph regular

2.2 Graph

2.3 Table

informal_settlement region numbers CI_lw CI_up
no capital_central 0.7654511 0.5284897 1.0000000
no east 0.8604435 0.7297095 0.9911776
no north 0.9285158 0.8521533 1.0000000
no north_east 0.9996894 0.9993380 1.0000000
no south 0.8364660 0.7111739 0.9617580
no south_east 0.8616757 0.7176960 1.0000000
no west 1.0000000 1.0000000 1.0000000
yes capital_central 0.2345489 0.0000000 0.4715103
yes east 0.1395565 0.0088224 0.2702905
yes north 0.0714842 0.0000000 0.1478467
yes north_east 0.0003106 0.0000000 0.0006620
yes south 0.1635340 0.0382420 0.2888261
yes south_east 0.1383243 0.0000000 0.2823040
yes west 0.0000000 0.0000000 0.0000000

2.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1049.2

3 by region: urban_rural

3.1 Graph regular

3.2 Graph

3.3 Table

urban_rural region numbers CI_lw CI_up
rural capital_central 0.0859723 0.0000000 0.2386351
rural east 0.6878900 0.5192686 0.8565115
rural north 0.1841642 0.0000000 0.3699684
rural north_east 0.1498344 0.0019484 0.2977204
rural south 0.3054369 0.1479624 0.4629113
rural south_east 0.8463037 0.7022782 0.9903291
rural west 0.6537766 0.5186535 0.7888997
urban capital_central 0.2998078 0.1053762 0.4942395
urban east 0.0818542 0.0000000 0.1656368
urban north 0.0278835 0.0147803 0.0409867
urban north_east 0.3783004 0.1836979 0.5729029
urban south 0.4961044 0.3281502 0.6640587
urban south_east 0.0606195 0.0000000 0.1685505
urban west 0.2670864 0.1516881 0.3824847
peri_urban capital_central 0.6142199 0.3670587 0.8613811
peri_urban east 0.2302557 0.0736241 0.3868873
peri_urban north 0.7879523 0.6019649 0.9739397
peri_urban north_east 0.4718652 0.2693940 0.6743364
peri_urban south 0.1984587 0.0792751 0.3176423
peri_urban south_east 0.0930769 0.0000000 0.2028657
peri_urban west 0.0791370 0.0000000 0.1652041

3.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=2639.1

4 by region: densely_populated

4.1 Graph regular

4.2 Graph

4.3 Table

densely_populated region numbers CI_lw CI_up
no capital_central 0.0049895 0.0004028 0.0095761
no east 0.2115835 0.0703957 0.3527714
no north 0.5785194 0.3422508 0.8147880
no north_east 0.1218779 0.0000000 0.2527405
no south 0.2238099 0.0872464 0.3603734
no south_east 0.6757398 0.4732629 0.8782166
no west 0.2855492 0.1327553 0.4383431
yes capital_central 0.9950105 0.9904239 0.9995972
yes east 0.7884165 0.6472286 0.9296043
yes north 0.4214806 0.1852120 0.6577492
yes north_east 0.8781221 0.7472595 1.0000000
yes south 0.7761901 0.6396266 0.9127536
yes south_east 0.3242602 0.1217834 0.5267371
yes west 0.7144508 0.5616569 0.8672447

4.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1319.6

5 by region: access_to_market

5.1 Graph regular

5.2 Graph

5.3 Table

access_to_market region numbers CI_lw CI_up
no capital_central 0.1476270 0.0000000 0.3251322
no east 0.1703880 0.0406819 0.3000942
no north 0.1401449 0.0000000 0.3132652
no north_east 0.0709255 0.0000000 0.1741371
no south 0.1309661 0.0622704 0.1996618
no south_east 0.3163729 0.1145840 0.5181617
no west 0.2369566 0.0961317 0.3777814
yes capital_central 0.8523730 0.6748678 1.0000000
yes east 0.8296120 0.6999058 0.9593181
yes north 0.8598551 0.6867348 1.0000000
yes north_east 0.9290745 0.8258629 1.0000000
yes south 0.8690339 0.8003382 0.9377296
yes south_east 0.6836271 0.4818383 0.8854160
yes west 0.7630434 0.6222186 0.9038683

5.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1520.5

6 by region: agree_to_be_contacted

6.1 Graph regular

6.2 Graph

6.3 Table

agree_to_be_contacted region numbers CI_lw CI_up
no capital_central 0.3626020 0.1154985 0.6097054
no east 0.0329167 0.0000000 0.0874895
no north 0.9067940 0.8310268 0.9825612
no north_east 0.4477299 0.2758766 0.6195833
no south 0.4623950 0.2962485 0.6285416
no south_east 0.9403237 0.8324112 1.0000000
no west 0.2376247 0.1221032 0.3531462
yes capital_central 0.6373980 0.3902946 0.8845015
yes east 0.9670833 0.9125105 1.0000000
yes north 0.0932060 0.0174388 0.1689732
yes north_east 0.5522701 0.3804167 0.7241234
yes south 0.5376050 0.3714584 0.7037515
yes south_east 0.0596763 0.0000000 0.1675888
yes west 0.7623753 0.6468538 0.8778968

6.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1410.4

7 by region: head_hh_gendre

7.1 Graph regular

7.2 Graph

7.3 Table

head_hh_gendre region numbers CI_lw CI_up
male capital_central 0.9932326 0.9873176 0.9991476
male east 0.8845817 0.7626671 1.0000000
male north 0.9963517 0.9904945 1.0000000
male north_east 0.8917533 0.7619665 1.0000000
male south 0.9517157 0.9028104 1.0000000
male south_east 0.9391088 0.8306868 1.0000000
male west 0.9089502 0.8205162 0.9973841
female capital_central 0.0067674 0.0008524 0.0126824
female east 0.1154183 0.0000000 0.2373329
female north 0.0036483 0.0000000 0.0095055
female north_east 0.1082467 0.0000000 0.2380335
female south 0.0482843 0.0000000 0.0971896
female south_east 0.0608912 0.0000000 0.1693132
female west 0.0910498 0.0026159 0.1794838

7.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=960.1

8 by region: head_hh_old

8.1 Graph regular

8.2 Graph

8.3 Table

region numbers CI_lw CI_up
dependent.var south_east 48.92053 45.51463 52.32643
dependent.var1 capital_central 43.09471 39.32370 46.86572
dependent.var2 north_east 45.07540 40.37499 49.77580
dependent.var3 west 47.28778 42.81546 51.76010
dependent.var4 east 43.78893 40.45028 47.12757
dependent.var5 south 45.79618 41.78259 49.80977
dependent.var6 north 47.04796 40.63152 53.46441

8.4 Statistics

two sample ttest on difference in means (two sided): p=0.787; df=450

9 by region: head_hh_disability

9.1 Graph regular

9.2 Graph

9.3 Table

head_hh_disability region numbers CI_lw CI_up
no capital_central 0.9260707 0.7886016 1.0000000
no east 0.9585870 0.8777366 1.0000000
no north 0.9879302 0.9776471 0.9982134
no north_east 0.8525609 0.6930337 1.0000000
no south 0.9810805 0.9589760 1.0000000
no south_east 0.8352101 0.6736308 0.9967895
no west 0.7324741 0.5819528 0.8829953
yes capital_central 0.0739293 0.0000000 0.2113984
yes east 0.0414130 0.0000000 0.1222634
yes north 0.0120698 0.0017866 0.0223529
yes north_east 0.1474391 0.0000000 0.3069663
yes south 0.0189195 0.0000000 0.0410240
yes south_east 0.1647899 0.0032105 0.3263692
yes west 0.2675259 0.1170047 0.4180472

9.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1322.9

10 by region: hh_number_individuals

10.1 Graph regular

10.2 Graph

10.3 Table

region numbers CI_lw CI_up
dependent.var south_east 12.99550 8.588316 17.40269
dependent.var1 capital_central 17.03438 11.380373 22.68838
dependent.var2 north_east 14.21727 10.843482 17.59106
dependent.var3 west 20.58123 18.698212 22.46425
dependent.var4 east 13.89538 10.497414 17.29334
dependent.var5 south 17.67935 14.975385 20.38332
dependent.var6 north 11.34279 7.427003 15.25858

10.4 Statistics

two sample ttest on difference in means (two sided): p=0.351; df=450

11 by region: female_newborn

11.1 Graph regular

11.2 Graph

11.3 Table

region numbers CI_lw CI_up
dependent.var south_east 1.1955399 0.7618014 1.6292784
dependent.var1 capital_central 0.3120975 0.0497760 0.5744191
dependent.var2 north_east 0.5281456 0.2519025 0.8043888
dependent.var3 west 0.4206420 0.2694100 0.5718740
dependent.var4 east 0.4413480 0.2397642 0.6429317
dependent.var5 south 0.5509862 0.3501815 0.7517908
dependent.var6 north 0.7182147 0.3288202 1.1076091

11.4 Statistics

two sample ttest on difference in means (two sided): p=0.444; df=450

12 by region: female_newborn_disabled

12.1 Graph regular

12.2 Graph

12.3 Table

region numbers CI_lw CI_up
dependent.var north_east 0.0102298 -0.0121868 0.0326463
dependent.var1 south_east 0.0000000 0.0000000 0.0000000
dependent.var2 south 0.0324698 -0.0311698 0.0961095
dependent.var3 north 0.1911712 -0.0548270 0.4371694
dependent.var4 west 0.0000000 0.0000000 0.0000000
dependent.var5 east 0.0015534 -0.0017817 0.0048885
dependent.var6 capital_central 0.0106608 0.0106608 0.0106608

12.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=156

13 by region: female_newborn_mental

13.1 Graph regular

13.2 Graph

13.3 Table

region numbers CI_lw CI_up
dependent.var north_east 0.0000000 0.0000000 0.0000000
dependent.var1 south_east 0.0045385 -0.0018263 0.0109033
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 north 0.0000000 0.0000000 0.0000000
dependent.var4 west 0.0000000 0.0000000 0.0000000
dependent.var5 east 0.0000000 0.0000000 0.0000000
dependent.var6 capital_central 0.0000000 0.0000000 0.0000000

13.4 Statistics

two sample ttest on difference in means (two sided): p=0.353; df=156

14 by region: female_newborn_chronically

14.1 Graph regular

14.2 Graph

14.3 Table

region numbers CI_lw CI_up
dependent.var north_east 0.0102298 -0.0121868 0.0326463
dependent.var1 south_east 0.0278207 -0.0034949 0.0591362
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 north 0.0077342 -0.0033309 0.0187994
dependent.var4 west 0.0000000 0.0000000 0.0000000
dependent.var5 east 0.0000000 0.0000000 0.0000000
dependent.var6 capital_central 0.0004523 -0.0005277 0.0014323

14.4 Statistics

two sample ttest on difference in means (two sided): p=0.34; df=156

15 by region: male_newborn

15.1 Graph regular

15.2 Graph

15.3 Table

region numbers CI_lw CI_up
dependent.var south_east 1.2072718 0.5978235 1.8167201
dependent.var1 capital_central 0.2305190 -0.0035799 0.4646179
dependent.var2 north_east 0.3243507 0.1024034 0.5462981
dependent.var3 west 0.2720817 0.1268115 0.4173519
dependent.var4 east 0.3718329 0.1991693 0.5444965
dependent.var5 south 0.6048204 0.3373487 0.8722920
dependent.var6 north 0.6152756 0.2785460 0.9520052

15.4 Statistics

two sample ttest on difference in means (two sided): p=0.342; df=450

16 by region: male_newborn_disabled

16.1 Graph regular

16.2 Graph

16.3 Table

region numbers CI_lw CI_up
dependent.var north_east 0.0000000 0.0000000 0.0000000
dependent.var1 capital_central 0.0100063 -0.0116756 0.0316883
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 south_east 0.0000000 0.0000000 0.0000000
dependent.var4 east 0.0000000 0.0000000 0.0000000
dependent.var5 west 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.3510706 -0.0069104 0.7090516

16.4 Statistics

two sample ttest on difference in means (two sided): p=0.351; df=128

17 by region: male_newborn_mental

17.1 Graph regular

17.2 Graph

17.3 Table

region numbers CI_lw CI_up
dependent.var north_east 0.0000000 0.0000000 0.0000000
dependent.var1 capital_central 0.0002116 0.0002116 0.0002116
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 south_east 0.0518052 0.0264211 0.0771894
dependent.var4 east 0.0000000 0.0000000 0.0000000
dependent.var5 west 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0702141 -0.0784294 0.2188576

17.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=128

18 by region: male_newborn_chronically

18.1 Graph regular

18.2 Graph

18.3 Table

region numbers CI_lw CI_up
dependent.var north_east 0.0000000 0.0000000 0.0000000
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 south_east 0.0061526 -0.0023922 0.0146974
dependent.var4 east 0.0000000 0.0000000 0.0000000
dependent.var5 west 0.0886989 -0.0851477 0.2625454
dependent.var6 north 0.0000000 0.0000000 0.0000000

18.4 Statistics

two sample ttest on difference in means (two sided): p=0.341; df=128

19 by region: girls

19.1 Graph regular

19.2 Graph

19.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.7320491 0.2837206 1.1803776
dependent.var1 capital_central 0.5406082 0.2581904 0.8230261
dependent.var2 north_east 0.5724631 0.2081867 0.9367395
dependent.var3 west 0.4101118 0.1798578 0.6403657
dependent.var4 east 0.6781030 0.3996715 0.9565344
dependent.var5 south 0.5705999 0.3229213 0.8182784
dependent.var6 north 1.0802127 0.6560990 1.5043264

19.4 Statistics

two sample ttest on difference in means (two sided): p=0.497; df=450

20 by region: girls_disabled

20.1 Graph regular

20.2 Graph

20.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.0007964 -0.0007646 0.0023575
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0000000 0.0000000 0.0000000
dependent.var3 south 0.0000000 0.0000000 0.0000000
dependent.var4 south_east 0.0163084 -0.0027222 0.0353389
dependent.var5 west 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0526606 -0.0588220 0.1641432

20.4 Statistics

two sample ttest on difference in means (two sided): p=0.334; df=202

21 by region: girls_mental

21.1 Graph regular

21.2 Graph

21.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.0001286 -0.0001235 0.0003807
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0000000 0.0000000 0.0000000
dependent.var3 south 0.0000000 0.0000000 0.0000000
dependent.var4 south_east 0.0000000 0.0000000 0.0000000
dependent.var5 west 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0000000 0.0000000 0.0000000

21.4 Statistics

two sample ttest on difference in means (two sided): p=0.334; df=202

22 by region: girls_chronically

22.1 Graph regular

22.2 Graph

22.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.1556642 -0.1494321 0.4607605
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0812352 0.0812352 0.0812352
dependent.var3 south 0.0000000 0.0000000 0.0000000
dependent.var4 south_east 0.0000000 0.0000000 0.0000000
dependent.var5 west 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.1053212 -0.0406438 0.2512862

22.4 Statistics

two sample ttest on difference in means (two sided): p=0.644; df=202

23 by region: boys

23.1 Graph regular

23.2 Graph

23.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.7188515 0.3238088 1.1138941
dependent.var1 capital_central 0.6248181 0.3507673 0.8988689
dependent.var2 north_east 0.6733177 0.3862567 0.9603787
dependent.var3 west 0.2836080 0.1351738 0.4320422
dependent.var4 east 0.6103959 0.4083857 0.8124060
dependent.var5 south 0.6773946 0.3941435 0.9606458
dependent.var6 north 1.0742247 0.7210646 1.4273849

23.4 Statistics

two sample ttest on difference in means (two sided): p=0.934; df=450

24 by region: boys_disabled

24.1 Graph regular

24.2 Graph

24.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.0002222 -0.0002133 0.0006576
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 south_east 0.0018718 -0.0017968 0.0055403
dependent.var4 north 0.0000000 0.0000000 0.0000000
dependent.var5 east 0.0000000 0.0000000 0.0000000
dependent.var6 west 0.0000000 0.0000000 0.0000000

24.4 Statistics

two sample ttest on difference in means (two sided): p=0.318; df=204

25 by region: boys_mental

can not test group difference with <2 different values in the dependent variable

26 by region: boys_chronically

26.1 Graph regular

26.2 Graph

26.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.2394459 -0.0925055 0.5713974
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 south 0.0000000 0.0000000 0.0000000
dependent.var3 south_east 0.0033103 -0.0013166 0.0079371
dependent.var4 north 0.0000000 0.0000000 0.0000000
dependent.var5 east 0.0000000 0.0000000 0.0000000
dependent.var6 west 0.0000000 0.0000000 0.0000000

26.4 Statistics

two sample ttest on difference in means (two sided): p=0.159; df=204

27 by region: girls5_16

27.1 Graph regular

27.2 Graph

27.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.4725439 0.1726561 0.7724317
dependent.var1 capital_central 1.5161195 1.0031658 2.0290731
dependent.var2 north_east 0.8919306 0.5688870 1.2149742
dependent.var3 west 1.0950255 0.6664473 1.5236037
dependent.var4 east 1.2066021 0.9297187 1.4834855
dependent.var5 south 0.8159039 0.5416139 1.0901939
dependent.var6 north 1.1376456 0.7844221 1.4908692

27.4 Statistics

two sample ttest on difference in means (two sided): p=0.299; df=450

28 by region: girls5_16_disabled

28.1 Graph regular

28.2 Graph

28.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.0002002 -0.0001108 0.0005112
dependent.var1 west 0.1193716 -0.0144740 0.2532173
dependent.var2 east 0.0101544 -0.0097479 0.0300566
dependent.var3 south_east 0.0090669 -0.0068955 0.0250294
dependent.var4 south 0.0000000 0.0000000 0.0000000
dependent.var5 north_east 0.0085195 -0.0097721 0.0268112
dependent.var6 north 0.0000000 0.0000000 0.0000000

28.4 Statistics

two sample ttest on difference in means (two sided): p=0.343; df=281

29 by region: girls5_16_mental

29.1 Graph regular

29.2 Graph

29.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 4.95e-05 -4.75e-05 0.0001464
dependent.var1 west 0.00e+00 0.00e+00 0.0000000
dependent.var2 east 0.00e+00 0.00e+00 0.0000000
dependent.var3 south_east 0.00e+00 0.00e+00 0.0000000
dependent.var4 south 0.00e+00 0.00e+00 0.0000000
dependent.var5 north_east 0.00e+00 0.00e+00 0.0000000
dependent.var6 north 0.00e+00 0.00e+00 0.0000000

29.4 Statistics

two sample ttest on difference in means (two sided): p=0.333; df=281

30 by region: girls5_16_chronically

30.1 Graph regular

30.2 Graph

30.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.0981582 -0.0942284 0.2905448
dependent.var1 west 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0011297 -0.0010845 0.0033439
dependent.var3 south_east 0.0091132 -0.0068745 0.0251009
dependent.var4 south 0.0000000 0.0000000 0.0000000
dependent.var5 north_east 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0000000 0.0000000 0.0000000

30.4 Statistics

two sample ttest on difference in means (two sided): p=0.339; df=281

31 by region: girls5_16_pregnant

31.1 Graph regular

31.2 Graph

31.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.000000 0.0000000 0.0000000
dependent.var1 west 0.000000 0.0000000 0.0000000
dependent.var2 east 0.000000 0.0000000 0.0000000
dependent.var3 south_east 0.001918 -0.0022001 0.0060361
dependent.var4 south 0.000000 0.0000000 0.0000000
dependent.var5 north_east 0.000000 0.0000000 0.0000000
dependent.var6 north 0.000000 0.0000000 0.0000000

31.4 Statistics

two sample ttest on difference in means (two sided): p=0.086; df=281

32 by region: girls5_16_breastfeeding

32.1 Graph regular

32.2 Graph

32.3 Table

region numbers CI_lw CI_up
dependent.var capital_central 0.0981582 -0.0942284 0.2905448
dependent.var1 west 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0000000 0.0000000 0.0000000
dependent.var3 south_east 0.0000000 0.0000000 0.0000000
dependent.var4 south 0.0000000 0.0000000 0.0000000
dependent.var5 north_east 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0037784 -0.0036271 0.0111839

32.4 Statistics

two sample ttest on difference in means (two sided): p=0.333; df=281

33 by region: boys5_16

33.1 Graph regular

33.2 Graph

33.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.5442074 0.2048012 0.8836136
dependent.var1 capital_central 1.3528434 0.7310466 1.9746402
dependent.var2 north_east 1.0189029 0.6086503 1.4291556
dependent.var3 west 0.8321987 0.5413364 1.1230609
dependent.var4 east 1.6784528 1.2624570 2.0944485
dependent.var5 south 0.8420188 0.5339122 1.1501254
dependent.var6 north 1.1794271 0.8215191 1.5373351

33.4 Statistics

two sample ttest on difference in means (two sided): p=0.394; df=450

34 by region: boys5_16_disabled

34.1 Graph regular

34.2 Graph

34.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0018718 -0.0017968 0.0055403
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 west 0.0003875 -0.0003720 0.0011470
dependent.var3 capital_central 0.0000000 0.0000000 0.0000000
dependent.var4 east 0.0868365 -0.0335815 0.2072546
dependent.var5 south 0.0002026 -0.0001945 0.0005998
dependent.var6 north 0.0000000 0.0000000 0.0000000

34.4 Statistics

two sample ttest on difference in means (two sided): p=0.159; df=254

35 by region: boys5_16_mental

35.1 Graph regular

35.2 Graph

35.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0138542 -0.0051004 0.0328088
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 west 0.0000000 0.0000000 0.0000000
dependent.var3 capital_central 0.0000000 0.0000000 0.0000000
dependent.var4 east 0.0116050 -0.0111404 0.0343505
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0000000 0.0000000 0.0000000

35.4 Statistics

two sample ttest on difference in means (two sided): p=0.318; df=254

36 by region: boys5_16_chronically

36.1 Graph regular

36.2 Graph

36.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0092509 -0.0088806 0.0273824
dependent.var1 north_east 0.0000000 0.0000000 0.0000000
dependent.var2 west 0.0000000 0.0000000 0.0000000
dependent.var3 capital_central 0.0000000 0.0000000 0.0000000
dependent.var4 east 0.0000000 0.0000000 0.0000000
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0000000 0.0000000 0.0000000

36.4 Statistics

two sample ttest on difference in means (two sided): p=0.997; df=254

37 by region: female_16_18

37.1 Graph regular

37.2 Graph

37.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.2972287 0.0494317 0.5450257
dependent.var1 capital_central 0.2289479 -0.0051891 0.4630848
dependent.var2 north_east 0.3193633 0.1307478 0.5079787
dependent.var3 west 0.1533116 0.0371860 0.2694373
dependent.var4 east 0.4137750 0.2062345 0.6213155
dependent.var5 south 0.5770330 0.3508827 0.8031832
dependent.var6 north 1.0812673 0.8288336 1.3337010

37.4 Statistics

two sample ttest on difference in means (two sided): p=0.248; df=450

38 by region: female_16_18_disabled

38.1 Graph regular

38.2 Graph

38.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0026205 -0.0030057 0.0082467
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0203220 -0.0195084 0.0601523
dependent.var3 west 0.0000000 0.0000000 0.0000000
dependent.var4 north 0.1270681 -0.0956871 0.3498234
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north_east 0.0000000 0.0000000 0.0000000

38.4 Statistics

two sample ttest on difference in means (two sided): p=0.387; df=108

39 by region: female_16_18_mental

can not test group difference with <2 different values in the dependent variable

40 by region: female_16_18_chronically

40.1 Graph regular

40.2 Graph

40.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0080946 -0.0092847 0.0254739
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0000000 0.0000000 0.0000000
dependent.var3 west 0.0000000 0.0000000 0.0000000
dependent.var4 north 0.0000000 0.0000000 0.0000000
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north_east 0.0000000 0.0000000 0.0000000

40.4 Statistics

two sample ttest on difference in means (two sided): p=0.149; df=108

41 by region: female_16_18_pregnant

41.1 Graph regular

41.2 Graph

41.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0109716 -0.0074728 0.0294161
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0000000 0.0000000 0.0000000
dependent.var3 west 0.0000000 0.0000000 0.0000000
dependent.var4 north 0.0799374 -0.1119488 0.2718237
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north_east 0.0000000 0.0000000 0.0000000

41.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=108

42 by region: female_16_18_breastfeeding

42.1 Graph regular

42.2 Graph

42.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0000000 0.0000000 0.0000000
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 east 0.0000000 0.0000000 0.0000000
dependent.var3 west 0.0000000 0.0000000 0.0000000
dependent.var4 north 0.0799374 -0.1119488 0.2718237
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north_east 0.0000000 0.0000000 0.0000000

42.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=108

43 by region: male_16_18

43.1 Graph regular

43.2 Graph

43.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.3085039 0.0596352 0.5573726
dependent.var1 capital_central 0.3786646 0.0168104 0.7405188
dependent.var2 north_east 0.3502454 0.1543951 0.5460958
dependent.var3 west 0.2030127 0.0737807 0.3322448
dependent.var4 east 0.3999868 0.1703554 0.6296183
dependent.var5 south 0.5690575 0.3441040 0.7940110
dependent.var6 north 1.2175891 0.9622889 1.4728892

43.4 Statistics

two sample ttest on difference in means (two sided): p=0.922; df=450

44 by region: male_16_18_disabled

44.1 Graph regular

44.2 Graph

44.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0109716 -0.0096499 0.0315931
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 north 0.0000000 0.0000000 0.0000000
dependent.var3 east 0.0020725 -0.0024690 0.0066139
dependent.var4 west 0.0000000 0.0000000 0.0000000
dependent.var5 north_east 0.0000000 0.0000000 0.0000000
dependent.var6 south 0.0000000 0.0000000 0.0000000

44.4 Statistics

two sample ttest on difference in means (two sided): p=0.38; df=120

45 by region: male_16_18_mental

45.1 Graph regular

45.2 Graph

45.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0080946 -0.0113361 0.0275252
dependent.var1 capital_central 0.0000000 0.0000000 0.0000000
dependent.var2 north 0.0000000 0.0000000 0.0000000
dependent.var3 east 0.0000000 0.0000000 0.0000000
dependent.var4 west 0.0000000 0.0000000 0.0000000
dependent.var5 north_east 0.0000000 0.0000000 0.0000000
dependent.var6 south 0.0000000 0.0000000 0.0000000

45.4 Statistics

two sample ttest on difference in means (two sided): p=0.531; df=120

46 by region: male_16_18_chronically

46.1 Graph regular

46.2 Graph

46.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.000000 0.0000000 0.0000000
dependent.var1 capital_central 0.000161 -0.0002464 0.0005683
dependent.var2 north 0.000000 0.0000000 0.0000000
dependent.var3 east 0.000000 0.0000000 0.0000000
dependent.var4 west 0.000000 0.0000000 0.0000000
dependent.var5 north_east 0.000000 0.0000000 0.0000000
dependent.var6 south 0.000000 0.0000000 0.0000000

46.4 Statistics

two sample ttest on difference in means (two sided): p=0.38; df=120

47 by region: female_18_50

47.1 Graph regular

47.2 Graph

47.3 Table

region numbers CI_lw CI_up
dependent.var south_east 1.780907 1.3704170 2.191396
dependent.var1 capital_central 1.299552 1.0374111 1.561694
dependent.var2 north_east 1.423124 1.0625236 1.783724
dependent.var3 west 1.275048 0.9477819 1.602313
dependent.var4 east 1.266711 0.9805107 1.552912
dependent.var5 south 1.077053 0.9738329 1.180273
dependent.var6 north 1.144136 0.9820366 1.306236

47.4 Statistics

two sample ttest on difference in means (two sided): p=0.868; df=450

48 by region: female_18_50_disabled

48.1 Graph regular

48.2 Graph

48.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0129247 -0.0027189 0.0285684
dependent.var1 capital_central 0.0000905 -0.0000868 0.0002677
dependent.var2 north_east 0.0478268 -0.0459120 0.1415655
dependent.var3 west 0.0000000 0.0000000 0.0000000
dependent.var4 east 0.0450820 -0.0431182 0.1332822
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0820083 -0.0736826 0.2376991

48.4 Statistics

two sample ttest on difference in means (two sided): p=0.318; df=434

49 by region: female_18_50_mental

49.1 Graph regular

49.2 Graph

49.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0000000 0.0000000 0.000000
dependent.var1 capital_central 0.0000000 0.0000000 0.000000
dependent.var2 north_east 0.0000000 0.0000000 0.000000
dependent.var3 west 0.0000000 0.0000000 0.000000
dependent.var4 east 0.0281132 -0.0253886 0.081615
dependent.var5 south 0.0000000 0.0000000 0.000000
dependent.var6 north 0.0000000 0.0000000 0.000000

49.4 Statistics

two sample ttest on difference in means (two sided): p=0.304; df=434

50 by region: female_18_50_chronically

50.1 Graph regular

50.2 Graph

50.3 Table

region numbers CI_lw CI_up
dependent.var south_east 0.0000000 0.0000000 0.0000000
dependent.var1 capital_central 0.0780483 -0.0745001 0.2305966
dependent.var2 north_east 0.0000000 0.0000000 0.0000000
dependent.var3 west 0.0680690 -0.0265634 0.1627014
dependent.var4 east 0.0000000 0.0000000 0.0000000
dependent.var5 south 0.0000000 0.0000000 0.0000000
dependent.var6 north 0.0000000 0.0000000 0.0000000

50.4 Statistics

two sample ttest on difference in means (two sided): p=0.317; df=434